Description

AI Engineer with experience leading the design and deployment of production AI systems, from machine learning solutions to multi-agent LLM architectures. Background in Physics with strong foundations in mathematics and scientific computing. Specialized in agentic systems, RAG, AI architecture, LLMOps, MLOps and applied machine learning.

Languages

Spanish
Native or bilingual
English
Fluent

Workplace preferences

Can work on-site

Murcia (up to 50km), Madrid (up to 50km), Barcelona (up to 50km)

NTT DATA nl
AI Engineer & Technical Lead
DIGITAL AND IT
October 2025 - Today (9 months)
-Architected and delivered a 7-agent ecosystem used across four internal teams to operationalize organizational knowledge and improve information accessibility in real time.
-Led two AI initiatives across teams of 5 and 2 engineers, covering agentic systems, AI architecture, LLMOps and enterprise observability platforms.
-Designed and implemented scalable multi-agent orchestration workflows using FastAPI, MCP and LangGraph, enabling reusable AI solutions and accelerating new use-case onboarding.
-Built self-hosted monitoring and evaluation platforms to track usage, performance and traceability of enterprise AI systems.
-Collaborated with business and innovation stakeholders to secure sponsorship, drive adoption and contribute to a finalist project in the company's worldwide GenAI innovation hackathon.
Altia
Machine Learning & AI Engineer
September 2024 - July 2025 (10 months)
• Delivered end-to-end AI solutions, from prototyping to production deployment, for public institutions.
• Led the development of a multilabel-intent chatbot for SEPE using embeddings and TF-IDF and trained multilabel classification models using Scikit-learn to detect user intents and trigger programmatic responses combining intent classification, embeddings and machine learning models to guide users through public services.
• Built a semantic search database for the administration with PostgreSQL and NLP (R2R).
• Built an Azure-based RAG system and AI agents (n8n, LangGraph) for the Ministry of Economy.
University of Salamanca,
Computer Vision Specialist
May 2024 - December 2024 (7 months)
• Applied YOLO-based object detection models using Python and PyTorch for IOS app Development.
• Engaged in direct B2B client communication.